Github user rxin commented on the issue:
https://github.com/apache/spark/pull/15637
It supports any data types, uses less space and can provide probabilistic
frequencies for a large number of distinct values, and it's already implemented
in Spark. We just need to add a wrapper for it to turn it into an aggregate
function.
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